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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 4862
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    Explanations

    scientific terms related to microbial processes and their biochemical interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    bacteria and bacterial processes

    np_acts-logits-general · gemini-2.0-flash

    bacteria and microbes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     full
    -0.37
     coming
    -0.35
    symbol
    -0.32
    brief
    -0.32
     upcoming
    -0.32
     dumb
    -0.32
     float
    -0.30
     familiar
    -0.30
    FXML
    -0.30
     Cuad
    -0.30
    POSITIVE LOGITS
     Bacteria
    1.04
     bacteria
    1.04
     microorganisms
    0.99
     microbes
    0.96
    Bacteria
    0.94
     bacterium
    0.93
     microbial
    0.91
     microbio
    0.91
    bacteria
    0.90
     bacterial
    0.90
    Activations Density 1.231%

    No Known Activations